Showing 4 open source projects for "android pattern breaker"

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    MvvmCross

    MvvmCross

    The .NET MVVM framework for cross-platform solutions

    Build clean, pixel perfect, native UIs. Share behavior and business logic in a single codebase across supported platforms, using the Model-View-ViewModel (MVVM) design pattern. MvvmCross is a framework specifically developed for Xamarin and the mobile ecosystem. It supports Xamarin.iOS, Xamarin.Android, Xamarin.Mac, Xamarin.Forms, Universal Windows Platform (UWP) and Windows Presentation Framework (WPF). MvvmCross is a cross-platform MVVM framework. It enables developers to create apps using...
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  • 2
    Dagger

    Dagger

    Fast dependency injector for Android and Java

    Dagger is a fully static, compile-time dependency injection framework for Java, Kotlin, and Android. It is an adaptation of an earlier version created by Square and now maintained by Google. The latest Dagger release is: Dagger 2.33. Dagger aims to address many of the development and performance issues that have plagued reflection-based solutions. Dagger is a replacement for the FactoryFactory classes that implements the dependency injection design pattern without the burden of writing the boilerplate. ...
    Downloads: 1 This Week
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  • 3
    JetPackMvvm

    JetPackMvvm

    A Jetpack combined with the MVVM rapid development framework

    A Jetpack combined with the MVVM rapid development framework, based on the MVVM model to integrate the JetPack component library officially recommended by Google: LiveData, ViewModel, Lifecycle, and Navigation components use Kotlin language, add a lot of extension functions, simplify the code and add Retrofit network requests, coroutines, to help you Simplify various operations, allowing you to quickly develop projects. The sample format is the data format returned by the Android Api. If the...
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  • 4
    abu

    abu

    Abu quantitative trading system (stocks, options, futures, bitcoin)

    Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models,...
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